← Authors

Jinfeng Yi

44 papers · 2012–2025 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸƒ Academic Marathon (13) 🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (13) πŸ”¬ Deep Specialist (13) πŸ”₯ Unstoppable (8) πŸš€ Conference Pioneer ⚑ Prolific Year (9) ❓ The Questioner (4) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (192) πŸ’Ž Century Club (44)

Conferences

NIPS (12) ICML (9) AAAI (6) ICLR (5) IJCAI (3) ICCV (2) ACL (1) ACML (1) AISTATS (1) ECCV (1) JMLR (1) NAACL (1) UAI (1)

Top co-authors

Lijun Zhang (13) Cho-jui Hsieh (9) Tianbao Yang (9) Rong Jin (8) Huan Zhang (6) Pin-Yu Chen (6) Bowen Zhou (4) Songcan Chen (3) Xingjun Ma (3) Lue Tao (3)

Research topics

Differential Privacy (1)

Keywords

adversarial example (7) regret bound (6) adversarial training (5) adversarial attack (5) convex optimization (4) adversarial robustness (4) online convex optimization (4) online learning (4) neural network (4) black-box attack (3) metric learning (3) dynamic regret (3) strong convexity (3) projected gradient descent (2) stochastic gradient (2) pairwise similarity (2) matrix completion (2) dynamic time warping (2) convergence analysis (2) federated learning (2)

Papers

Universal Online Convex Optimization Meets Second-order Bounds JMLR 2025
Stochastic Graphical Bandits with Heavy-Tailed Rewards UAI 2023
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards NIPS 2023
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023
Training Meta-Surrogate Model for Transferable Adversarial Attack AAAI 2023
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective ICLR 2022
A Simple yet Universal Strategy for Online Convex Optimization ICML 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy ICML 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor NIPS 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? NIPS 2022
With False Friends Like These, Who Can Notice Mistakes? AAAI 2022
Fast Certified Robust Training with Short Warmup NIPS 2021
PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients ACML 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training NIPS 2021
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples AAAI 2020
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development AAAI 2020
Improving Adversarial Robustness Requires Revisiting Misclassified Examples ICLR 2020
Provably Robust Metric Learning NIPS 2020
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks AAAI 2020
DTWNet: a Dynamic Time Warping Network NIPS 2019
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019
Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos ICCV 2019
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions ICLR 2019
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach ICLR 2019
On the Convergence and Robustness of Adversarial Training ICML 2019
Similarity Preserving Representation Learning for Time Series Clustering IJCAI 2019
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss IJCAI 2019
Random Warping Series: A Random Features Method for Time-Series Embedding AISTATS 2018
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization NIPS 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models ECCV 2018
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification IJCAI 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach ICLR 2018
Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning ACL 2018
Scalable Demand-Aware Recommendation NIPS 2017
Improved Dynamic Regret for Non-degenerate Functions NIPS 2017
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient ICML 2016
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data ICML 2014
Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion ICML 2013
Online Kernel Learning with a Near Optimal Sparsity Bound ICML 2013
Stochastic Gradient Descent with Only One Projection NIPS 2012
Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning NIPS 2012